Abstract: A method comprises: generating a second photovoltaic power prediction model by correcting a first photovoltaic power prediction model based on a correction coefficient; judging whether environment temperature information of a photovoltaic power generation component to be predicted meets preset requirement information; in the case that the environment temperature information does not meet the preset requirement information, determining an average battery temperature value of the photovoltaic power generation component to be predicted and a first relationship, the first relationship representing a relationship among a battery temperature, an environment temperature and an irradiance of the photovoltaic power generation component to be predicted; generating a third photovoltaic power prediction model by correcting the second photovoltaic power prediction model based on the average battery temperature value and the first relationship; and predicting a photovoltaic power value of the photovoltaic power generation

Abstract: The present disclosure provides a method for detecting high impedance faults and analyzing interpretability of power distribution network. The method performs decomposition and reconstruction on original transient zero-sequence current signal by: using a method of improved complete ensemble empirical mode decomposition with adaptive noise to generate a reconstructed transient zero-sequence current signal; constructing a time convolutional network model based on the reconstructed transient zero-sequence current signal and outputting a fault detection result; and further constructing a score weighted class activation mapping method and performing qualitative analysis and quantitative calculation on detection criteria of model, and interpretability of data-driven fault detection scheme is fed back in a closed loop.

Abstract: Aspects concern a method for detecting fraudulent users in a marketplace system, comprising generating a graph, wherein users are represented as nodes of the graph and two nodes are connected by an edge if the user represented by one of the nodes has used at least one marketplace system element which was also used by the user represented by the other of the nodes in the marketplace system and each node is associated with a feature set including information about behaviour of the user who is represented by the node in the marketplace system and structure information about a subgraph of the graph to which the node belongs, processing the graph by a graph convolutional neural network configured to generate a score for each node of the graph and detecting one or more fraudulent users using the scores.

Abstract: A learning device, comprising at least one processor configured to, acquire training video information acquired by analyzing a training video advertisement which is a video advertisement for training; acquire training purchase information relating to a purchase by a training viewer who is a viewer of the training video advertisment; and train, based on the training video information and the training purchase information, a machine learning model for estimating an advertising effectiveness of an estimation video advertisement, which is a video advertisement for estimation, from estimation video information acquired by analyzing the estimation video advertisement.

Abstract: The present invention provides a high-purity echinocandin drug impurity and a preparation method thereof, the structure of the echinocandin drug impurity is as shown in Formula I, and the purity of the echinocandin drug impurity is greater than 90%. The high-purity impurity can be used for qualitative and quantitative analysis of impurities in the production of micafungin sodium, thereby providing technical support for subsequent quality research on micafungin sodium and improving the quality standard of micafungin.

Abstract: An electrical connection device includes a through-type connector, a first cable-end connector and a second cable-end connector. The through-type connector includes an outer shell and a plurality of pins, the outer shell is formed with a first cavity and a second cavity, the first cavity has a first independent insertion groove and a second independent insertion groove. The first cable-end connector is provided to be capable of independently inserting into the first independent insertion groove and includes a first insulative housing, a first terminal position assurance member, a plurality of first terminals and a plurality of first conductive wires. The second cable-end connector is provided to be capable of independently inserting into the second independent insertion groove and includes a second insulative housing, a second terminal position assurance member, a plurality of second terminals and a plurality of second conductive wires.

Abstract: The present disclosure provides a scheduling method, system, electronic device, and medium for addressing power shortages, comprising: step S1: classifying demand-side flexible resources; step S2: constructing a day-ahead-and-intraday optimization scheduling mechanism for demand-side resources to participate in system regulating; step S3: modeling demand-side flexible resources; step S4: aggregating regulating abilities of the Class II load; and step S5: constructing an intraday optimization scheduling model based on a total cost of purchasing electricity from other power grids and a total cost of dispatching load-side resources.

Abstract: An image processing method and an electronic device. The method includes: in response to an operation of capturing a first image by a user via a first terminal device, encoding the first image to obtain a first encoded file; sending the first encoded file to a server when a first operation of the user is detected and/or the first terminal device meets a first condition; and receiving a second image sent by the server, where the second image is obtained by the server by performing cloud enhancement processing on the first image in the first encoded file. According to the method and the electronic device, transmission to cloud in a case in which a terminal device is heavily loaded or overheated, or is in a poor network condition can be avoided.

Abstract: A display substrate and a display device. The display substrate includes a base, an insulating layer, a crack barrier structure, and a signal line. The crack barrier structure is located in a peripheral area, and at least a part of an orthographic projection of the crack barrier structure onto the base extends in an extension direction of a boundary of a display area. The crack barrier structure includes: a groove structure and a blocking portion, the groove structure is in the insulating layer, and a part of the blocking portion is located in the groove structure. The signal line is located at the peripheral area, and includes a top surface facing away from the base, and a side surface located between the top surface and the base, and at least a part of the side surface away from the display area is between the blocking portion and the groove structure.

Abstract: Disclosed is a battery comprising a housing, a battery cell and an end cover structure. The housing has an opening, through which the battery cell may be provided in the housing, and the end cover structure covers the opening. one end of the battery cell comprises a first electrode tab and a second electrode tab with different electrode polarities, the first and second electrode tabs are both towards the opening when the battery cell is provided in the housing, and the end cover structure comprises a first electrode connecting part and a second electrode connecting part, the first electrode connecting part is electrically connected to the first electrode tab and the second electrode connecting part is electrically connected to the second electrode tab when the end cover structure covers the opening, the first electrode connecting part and the second electrode connecting part are connected by insulating sealing part.

Abstract: The present disclosure provides systems and methods for automated analysis of documents within a collection of documents to identify referenced documents, and for verifying whether the referenced documents are contained within the collection. Broadly, the systems and methods disclosed herein are able to identify documents within a collection of documents, to identify referenced documents referred to within a given document, and to determine whether the referenced document(s) is/are contained within the collection of documents or are otherwise available.

Abstract: This application provides a method includes: obtaining a to-be-processed point cloud and a reference gray image corresponding to a radar field of view, where the to-be-processed point cloud is synthesized by point clouds of a plurality of units, the reference gray image is synthesized by gray images of the plurality of units, a point cloud of a first unit is obtained under laser illumination, a gray image of the first unit is obtained under ambient light illumination, the point cloud of the first unit and the gray image of the first unit are alternately collected by a same sensor, and the first unit is any one of the plurality of units; obtaining a contour of a target based on the reference gray image; and complementing the to-be-processed point cloud based on the contour of the target to obtain a target point cloud.

Abstract: Disclosed are an abnormality diagnosis method and apparatus for photovoltaic power generation, a computer device and a storage medium. The method comprises acquiring operation data of a photovoltaic station, generating a photovoltaic power generation capacity prediction model by training a preset neural network based on the operation data of the photovoltaic station; determining an abnormal photovoltaic station by performing daily power generation capacity fluctuation evaluation and power generation efficiency evaluation on a plurality of photovoltaic stations using the photovoltaic power generation capacity prediction model; and generating a diagnosis result of the photovoltaic power generation abnormality by comparing the operation data corresponding to the abnormal photovoltaic station with an abnormality condition.

Abstract: An apparatus comprising a regulator circuit that includes a linear input current regulating circuit configured to regulate input current to the regulator circuit when an output voltage of the regulator circuit is less than an input voltage of the regulator circuit; and a switching regulating circuit configured to regulate the input current when the output voltage is greater than the input voltage and less than a target regulated output voltage and regulate the output voltage when the output voltage reaches the target regulated output voltage. The linear input current regulating circuit is also used to disconnect the input from output during shutdown.

Abstract: The present disclosure provides a video decoding method, a video decoding device, a hardware decoder, and a storage medium. The method comprises: decoding a target slice of a to-be-decoded video; determining coding blocks that need to be restored in a frame where the target slice is located, when detecting occurrence of an error to a syntax element of the target slice; and restoring the coding blocks that need to be restored based on a global preset syntax element template, so as to perform forced decoding of the target slice.

Abstract: Disclosed are an abnormality diagnosis method and apparatus for photovoltaic power generation, a computer device and a storage medium. The method comprises acquiring operation data of a photovoltaic station, generating a photovoltaic power generation capacity prediction model by training a preset neural network based on the operation data of the photovoltaic station; determining an abnormal photovoltaic station by performing daily power generation capacity fluctuation evaluation and power generation efficiency evaluation on a plurality of photovoltaic stations using the photovoltaic power generation capacity prediction model; and generating a diagnosis result of the photovoltaic power generation abnormality by comparing the operation data corresponding to the abnormal photovoltaic station with an abnormality condition.

Abstract: A method for controlling a direct drive transmission system and related devices. The method includes: S1: starting direct drive transmission system for overall zero returning; S2: reading a zero signal of the first incremental position feedback means identified by a corresponding second incremental position feedback means; S3: determining whether any actuator reads two zero signals; if yes, performing step S4; otherwise, returning to step S1; S4: determining according to a distance between two zero signals fed back by the actuator that the corresponding mover has completed zero returning, and further completing zero returning of the direct drive transmission system; and S5: acquiring, by the controller based on the direct drive transmission system after zero returning, position information of the movers, and driving the movers to move. Compared with the related art, the present disclosure has good position feedback effect, high positioning accuracy, and good drive control effect.